Mingjun Xiao

1.8k total citations
53 papers, 1.3k citations indexed

About

Mingjun Xiao is a scholar working on Computer Networks and Communications, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Mingjun Xiao has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Networks and Communications, 22 papers in Computer Science Applications and 15 papers in Artificial Intelligence. Recurrent topics in Mingjun Xiao's work include Mobile Crowdsensing and Crowdsourcing (22 papers), Privacy-Preserving Technologies in Data (14 papers) and Auction Theory and Applications (10 papers). Mingjun Xiao is often cited by papers focused on Mobile Crowdsensing and Crowdsourcing (22 papers), Privacy-Preserving Technologies in Data (14 papers) and Auction Theory and Applications (10 papers). Mingjun Xiao collaborates with scholars based in China, United States and Hong Kong. Mingjun Xiao's co-authors include Jie Wu, Liusheng Huang, Guoju Gao, Sheng Zhang, Yunsheng Wang, An Liu, Chang Hu, He Huang, Qing Li and Guoliang Chen and has published in prestigious journals such as Environmental Research, IEEE Transactions on Knowledge and Data Engineering and IEEE Internet of Things Journal.

In The Last Decade

Mingjun Xiao

51 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mingjun Xiao China	20	744	466	460	355	299	53	1.3k
Jia Xu China	20	521 0.7×	375 0.8×	417 0.9×	208 0.6×	230 0.8×	98	1.3k
Guoju Gao China	17	483 0.6×	246 0.5×	353 0.8×	190 0.5×	163 0.5×	49	854
Yufeng Zhan China	23	613 0.8×	827 1.8×	1.1k 2.5×	510 1.4×	99 0.3×	47	2.0k
Mingjun Xiao China	19	253 0.3×	719 1.5×	263 0.6×	198 0.6×	108 0.4×	66	1.2k
Chuan Zhang China	25	312 0.4×	494 1.1×	1.0k 2.3×	757 2.1×	103 0.3×	116	1.7k
Xike Xie China	19	112 0.2×	305 0.7×	311 0.7×	143 0.4×	219 0.7×	74	1.0k
Merkouris Karaliopoulos Greece	13	211 0.3×	347 0.7×	97 0.2×	86 0.2×	156 0.5×	31	732
Tianyu Wo China	22	96 0.1×	1.1k 2.3×	395 0.9×	840 2.4×	295 1.0×	111	1.8k
Man Hon Cheung Hong Kong	20	135 0.2×	588 1.3×	94 0.2×	100 0.3×	81 0.3×	56	1.0k
Anjia Yang China	16	190 0.3×	386 0.8×	749 1.6×	828 2.3×	25 0.1×	63	1.3k

Countries citing papers authored by Mingjun Xiao

Since Specialization

Citations

This map shows the geographic impact of Mingjun Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingjun Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjun Xiao more than expected).

Fields of papers citing papers by Mingjun Xiao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingjun Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingjun Xiao. The network helps show where Mingjun Xiao may publish in the future.

Co-authorship network of co-authors of Mingjun Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingjun Xiao. A scholar is included among the top collaborators of Mingjun Xiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mingjun Xiao. Mingjun Xiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sun, Chang‐ai, et al.. (2025). A Reinforcement Learning Based Approach to Partition Testing. Journal of Computer Science and Technology. 40(1). 99–118. 1 indexed citations

Xiao, Mingjun, et al.. (2025). Online Federated Learning on Distributed Unknown Data Using UAVs. 16–28.

Xiao, Mingjun, et al.. (2024). Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach. 1533–1546. 1 indexed citations

Huang, Hongli, Guanlin Guo, Yinhai He, et al.. (2024). Effect of various phosphorus levels on the extraction of Cd, the transformation of P, and phosphorus-related gene during the phytoremediation of Cd contaminated soil. Environmental Research. 251(Pt 1). 118389–118389. 18 indexed citations

Xiao, Mingjun, et al.. (2024). Optimizing Data-Driven Federated Learning in UAV Networks. 9–17.

Huang, Zhiyuan, et al.. (2021). Privacy-Enhanced Crowdsourcing Data Trading based on Blockchain and Stackelberg Game. 621–626. 5 indexed citations

Gao, Guoju, He Huang, Mingjun Xiao, et al.. (2021). Budgeted Unknown Worker Recruitment for Heterogeneous Crowdsensing Using CMAB. IEEE Transactions on Mobile Computing. 1–1. 43 indexed citations

Ma, Zhi, Sheng Zhang, Zhiqi Chen, et al.. (2021). Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing. IEEE Transactions on Parallel and Distributed Systems. 33(5). 1185–1198. 38 indexed citations

Wang, Can, Sheng Zhang, Zhuzhong Qian, et al.. (2020). Joint Server Assignment and Resource Management for Edge-Based MAR System. IEEE/ACM Transactions on Networking. 28(5). 2378–2391. 31 indexed citations

10.

Gao, Guoju, Jie Wu, Mingjun Xiao, & Guoliang Chen. (2020). Combinatorial Multi-Armed Bandit Based Unknown Worker Recruitment in Heterogeneous Crowdsensing. 179–188. 67 indexed citations

11.

Xiao, Mingjun, et al.. (2020). CPchain: A Copyright-Preserving Crowdsourcing Data Trading Framework Based on Blockchain. 1–9. 15 indexed citations

12.

Xiao, Mingjun, et al.. (2020). On the Core of Markets with Co-ownerships and Indivisibilities. SSRN Electronic Journal. 2 indexed citations

13.

Xiao, Mingjun, An Liu, Hui Zhao, et al.. (2019). SRA: Secure Reverse Auction for Task Assignment in Spatial Crowdsourcing. IEEE Transactions on Knowledge and Data Engineering. 32(4). 782–796. 54 indexed citations

14.

Chen, Zhiqi, Sheng Zhang, Can Wang, et al.. (2018). A Novel Algorithm for NFV Chain Placement in Edge Computing Environments. 1–6. 27 indexed citations

15.

Han, Kai, Huan Liu, Shaojie Tang, Mingjun Xiao, & Jun Luo. (2018). Differentially Private Mechanisms for Budget Limited Mobile Crowdsourcing. IEEE Transactions on Mobile Computing. 18(4). 934–946. 18 indexed citations

16.

Xiao, Mingjun, et al.. (2017). Secret-sharing-based secure user recruitment protocol for mobile crowdsensing. 1–9. 56 indexed citations

17.

Xiao, Mingjun, et al.. (2016). Online Task Assignment for Crowdsensing in Predictable Mobile Social Networks. IEEE Transactions on Mobile Computing. 16(8). 2306–2320. 127 indexed citations

18.

Gao, Guoju, Mingjun Xiao, & Zhenhua Zhao. (2016). Optimal Multi-taxi Dispatch for Mobile Taxi-Hailing Systems. 294–303. 29 indexed citations

19.

Han, Kai, Xiang Liu, Jun Luo, Mingjun Xiao, & Liusheng Huang. (2013). Energy-efficient reliable data dissemination in duty-cycled wireless sensor networks. 287–292. 10 indexed citations

20.

Xiao, Mingjun, Kai Han, Liusheng Huang, & Jingyuan Li. (2006). Privacy Preserving C4.5 Algorithm Over Horizontally Partitioned Data. 98. 78–85. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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